An MCP server implementation integrating the Brave Search API, providing web search, local point of interest search, video search, image search, and news search functions.

OpenDeepSearch is an open - source research tool and an alternative to Perplexity Deep Research. It provides in - depth search and research capabilities through the Model Context Protocol (MCP). It can break down complex problems into sub - problems, perform multiple rounds of searches using the Brave Search API, analyze the results, and generate structured research reports. It supports citation of sources and can be integrated into MCP clients such as Claude Desktop and Cursor.

This project implements an MCP server for Brave Search, supporting integration with AI assistants such as Claude and providing web and local search functions.

The MCP Web Search Tool is a server tool that provides real-time web search capabilities for AI assistants. It supports pluggable search engine integration and currently mainly uses the Brave Search API.

A modern MCP server implementation that provides web search and research paper analysis functions for AI assistants through the Brave Search API and Google's Gemini model.

An in - depth research MCP server that combines Brave Search and Puppeteer web scraping, capable of extracting full web page content and exploring linked pages.

A server based on the Model Context Protocol (MCP) and Server-Sent Events (SSE), integrating the Brave Search API to provide real-time streaming search functionality for AI models and clients.

MCP is an AI chat system based on a client - server architecture, which supports extending the functions of Claude AI through multiple dedicated servers (file system, Slack, Brave search), enabling it to intelligently access local files, Slack conversations, and real - time web information.

A server project based on the MCP protocol that implements web search functionality by integrating the Brave API and can be used as a Claude extension.

An MCP server implementation integrating the Brave Search API, providing web search and local search functions.

MCP is an AI chat system based on a client - server architecture that can connect multiple dedicated servers (file system, Slack, Brave search), intelligently analyze user queries, and automatically select appropriate data sources to provide services.

A customized MCP server project that integrates multiple tool functions such as Brave search, secure file system, and GitHub integration, providing rich operational capabilities for AI assistants.

MCP is an AI chat system based on a client-server architecture that supports extending the capabilities of Claude AI through multiple dedicated servers (file system, Slack, Brave Search), enabling it to access local files, Slack workspaces, and real-time web information.

An MCP server implementation integrating the Brave Search API, providing web and local search functions, supporting pagination, filtering, and smart fallback mechanisms.

An MCP server based on the JSON-RPC 2.0 protocol, providing access to the Brave Search API through background threads, supporting rate limiting and tool call functions.

This is a tool for managing the configuration of feature extensions for the Claude desktop app and Cursor IDE. It supports multiple functions such as Brave search, Git operations, Obsidian notes, etc. It automatically generates configuration files through Makefile and installs them in the specified directory.

An MCP server implementation integrating the Brave Search API, providing web search and local search functions, supporting result filtering and intelligent fallback mechanism.

A local multi-agent research system based on Ollama and BraveSearch, supporting tool calls and collaboration, suitable for AI research tasks.

A model context service extension that provides Brave search for the Zed AI assistant, supporting web and local search commands.

This project provides multiple MCP server configurations for Cursor IDE, extending AI assistant functionality through the Model Context Protocol, including integrated services for GitHub, Notion, and Brave Search.

An MCP server based on TypeScript that retrieves Python documentation through the Brave Search API

A modern MCP server based on the FastMCP framework, providing URL text fetching, web link extraction, and Brave search functions, supporting MCP-compatible clients such as LM Studio.

A real-time search service based on the Brave Search API, supporting SSE push

MCP server project, possibly related to Minecraft, using 'brave' as an identifier or feature

This project uses the SmolAgents library to build an AI assistant that integrates Brave Search and Crawl4ai's MCP server, capable of performing web searches and crawling functions.

Emotion Playlist MCP is a tool based on MCP that generates Spotify playlists according to the user's emotional state. It uses Brave Search and Spotify integration to automatically create music playlists that match the mood.

Build the executable file of the Brave Search MCP server

This project is a tutorial for building a Model Context Protocol (MCP) server based on Google's Gemini 2.0 model. It includes a complete code implementation, demonstrating how to enable AI models to seamlessly access external tools (such as the Brave Search API) through the MCP standard, and provides an example of a flexible architecture design.